Research on search results optimization technology with category features integration

Journal of Ambient Intelligence and Humanized Computing

Volumn 3, Issue 1, 2012, Pages 71-76

  Qin, Yanxia ^a   Zheng, Dequan ^a   Zhao, Tiejun ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Category features; Clustering; Optimization; Re ranking; Search results

Indexed keywords

CATEGORY FEATURES; CLUSTERING; CLUSTERING METHODS; DISCERNIBILITY; DOCUMENT RANKING; HOT SPOT; IN-LINE; OPTIMIZATION TECHNOLOGY; RE-RANKING; RETRIEVAL SPEED; SEARCH RESULTS;

SEARCH ENGINES;

OPTIMIZATION;

EID: 84857550167     PISSN: 18685137     EISSN: 18685145     Source Type: Journal    
DOI: 10.1007/s13042-011-0037-9     Document Type: Article

References (17)

1. Kuncheva LI (2010) Full-class set classification using the Hungarian algorithm. Int J Mach Learn Cybern 1: 53-61.
2. Biggio B, Fumera G, Roli F (2010) Multiple classifier systems for robust classifier design in adversarial environments. Int J Mach Learn Cybern 1: 27-41.
3. Luo W, Fang K, Zhu X (2010) The ranking algorithms of search engine. Hunan Agric Sci 7: 137-140.
4. Su C, Pan Y, Yuan J et al (2009) PageRank, HITS and impact factor for journal ranking. CSIE 285-290.
5. Kleinberg JM (1999) Authoritative sources in a hyperlinked environment. J ACM 46(5): 604-632.
6. Agosti M, Pretto L (2005) A theoretical study of a generalized version of Kleinberg's HITS algorithm. Inform Retr 8: 219-243.
7. Feng G, Liu T, Zhang X et al (2005) Level-based link analysis. APWC 183-194.
8. Zheng D, Yu F, Zhao T et al (2006) Documents ranking based on a hybrid language model for chinese information retrieval. Proceedings of IEEE Information Conference on Information Acquisition, pp 279-283.
9. Zhou D, Wade V (2009) Latent document re-ranking. Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp 1571-1580.
10. Yan J, Liu N, Chang Qing E et al (2009) Search result re-ranking based on gap between search queries and social tags. ACM 1197-1198.
11. Liu T et al (2008) Information retrieval system introduction. China Machine Press, Beijing, pp 195-204.
12. 2 User and Developer Manual, Version 3. 5. 0, 2010-11-03, http://download. carrot2. org/head/manual/index. html.
13. Osiski S, Stefanowski J, Weiss D, Lingo (2004) Search results clustering algorithm based on singular value decomposition, advances in soft computing, intelligent information processing and web mining. Proceedings of the International IIS, pp 359-368.
14. Li Y, Zhou L, Cao W (2008) Joint Feature Selection Method of Document Frequency and CHI with Application to Web Pages Categorization. J Beijing Univ Technol 34(9): 995-1000.
15. Jing H, Wang B, Yang Y et al (2009) Category Distribution-Based Feature Selection Framework. J Comput Res Dev 46(9): 1586-1593.
16. Shi C, Xu C, Yang X (2009) Study of TFIDF algorithm. J Comput Appl 29: 167-170.
17. Li R Chinese Text Classification Corpus (Fu Dan) Test Corpus. http://www. nlp. org. cn/docs/download. php?doc_id=295.